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  1. Stackups
  2. Application & Data
  3. NoSQL Databases
  4. NOSQL Database As A Service
  5. Azure Cosmos DB vs VerneMQ

Azure Cosmos DB vs VerneMQ

OverviewComparisonAlternatives

Overview

Azure Cosmos DB
Azure Cosmos DB
Stacks594
Followers1.1K
Votes130
VerneMQ
VerneMQ
Stacks31
Followers136
Votes6

Azure Cosmos DB vs VerneMQ: What are the differences?

# Introduction

1. **Data Model**: Azure Cosmos DB is a globally distributed, multi-model database service that allows you to interact with data using various APIs including SQL, MongoDB, Cassandra, etc. On the other hand, VerneMQ is an open-source, distributed MQTT message broker that specializes in handling real-time messaging and IoT data.
2. **Use Cases**: Azure Cosmos DB is commonly used for globally distributed applications that require low latency and high availability, while VerneMQ is preferred for applications that rely on MQTT protocol for real-time communication such as IoT devices, telemetry, and messaging systems.
3. **Consistency Model**: In Azure Cosmos DB, you can choose from different consistency levels (strong, bounded staleness, session, consistent prefix, eventual) based on your application requirements. VerneMQ follows the eventual consistency model where data consistency is eventually guaranteed but may experience temporary inconsistencies during synchronization.
4. **Scalability**: Azure Cosmos DB offers horizontal scalability with automatic partitioning and multi-master replication across multiple regions globally. VerneMQ also supports horizontal scalability through clustering but may require manual configuration and maintenance for scaling-out.
5. **Query Language**: Azure Cosmos DB supports SQL-like query language for querying data across different data models, whereas VerneMQ focuses more on message routing and processing rather than supporting complex querying capabilities.
6. **Pricing Model**: Azure Cosmos DB is a fully managed cloud service by Microsoft with a pay-as-you-go pricing model based on the provisioned throughput and storage consumed. VerneMQ, being open-source, requires self-hosting and management, resulting in lower costs but potentially higher operational overhead.

In Summary, Azure Cosmos DB and VerneMQ differ in terms of their data model, use cases, consistency model, scalability, query language support, and pricing model.

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Detailed Comparison

Azure Cosmos DB
Azure Cosmos DB
VerneMQ
VerneMQ

Azure DocumentDB is a fully managed NoSQL database service built for fast and predictable performance, high availability, elastic scaling, global distribution, and ease of development.

VerneMQ is a distributed MQTT message broker, implemented in Erlang/OTP. It's open source, and Apache 2 licensed. VerneMQ implements the MQTT 3.1, 3.1.1 and 5.0 specifications.

Fully managed with 99.99% Availability SLA;Elastically and highly scalable (both throughput and storage);Predictable low latency: <10ms @ P99 reads and <15ms @ P99 fully-indexed writes;Globally distributed with multi-region replication;Rich SQL queries over schema-agnostic automatic indexing;JavaScript language integrated multi-record ACID transactions with snapshot isolation;Well-defined tunable consistency models: Strong, Bounded Staleness, Session, and Eventual
Open Source, Apache 2 licensed; QoS 0, QoS 1, QoS 2; MQTT v5.0 fully implemented; Basic Authentication and Authorization; Bridge Support; $SYS Tree for monitoring and reporting; TLS (SSL) Encryption; Websockets Support; Cluster Support with sophisticated self-healing mechanisms; Queue Migration; Prometheus Monitoring; Logging (Console, Files, Syslog); Reporting to Graphite; Extensible Plugin architecture (Erlang, Elixir, Lua); WebHooks Plugins; Multiple Sessions per ClientId; Shared Subscriptions; Proxy Protocol v1, v2;
Statistics
Stacks
594
Stacks
31
Followers
1.1K
Followers
136
Votes
130
Votes
6
Pros & Cons
Pros
  • 28
    Best-of-breed NoSQL features
  • 22
    High scalability
  • 15
    Globally distributed
  • 14
    Automatic indexing over flexible json data model
  • 10
    Tunable consistency
Cons
  • 18
    Pricing
  • 4
    Poor No SQL query support
Pros
  • 1
    Open source shared subscriptions
  • 1
    Open Source Plugin System
  • 1
    Proxy Protocol support
  • 1
    Open Source Message and Metadata Persistence
  • 1
    MQTT v5 implementation
Integrations
Azure Machine Learning
Azure Machine Learning
MongoDB
MongoDB
Hadoop
Hadoop
Java
Java
Azure Functions
Azure Functions
Azure Container Service
Azure Container Service
Azure Storage
Azure Storage
Azure Websites
Azure Websites
Apache Spark
Apache Spark
Python
Python
MySQL
MySQL
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Memcached
Memcached
Redis
Redis

What are some alternatives to Azure Cosmos DB, VerneMQ?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

RabbitMQ

RabbitMQ

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon DynamoDB

Amazon DynamoDB

With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

Cloud Firestore

Cloud Firestore

Cloud Firestore is a NoSQL document database that lets you easily store, sync, and query data for your mobile and web apps - at global scale.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

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